The paper argues that training foundation models to optimize only for empowering their human principal to correct them could prevent misaligned instrumental convergence, and outlines a research agenda to test this.
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Corrigibility as a Singular Target: A Vision for Inherently Reliable Foundation Models
The paper argues that training foundation models to optimize only for empowering their human principal to correct them could prevent misaligned instrumental convergence, and outlines a research agenda to test this.